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arXiv · 2103.10477

Sequencing by Emergence: Modeling and Estimation

Nicholas Boyd·Samuel Woodhouse·Kalim Mir
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Abstract

Sequencing by Emergence (SEQE) is a new single-molecule nucleic acid (DNA/RNA) sequencing technology that estimates sequence as an emergent property of the binding and localization of a repertoire of short oligonucleotide probes. SEQE promises to deliver accurate, ultra-long, haplotype-phased reads at the whole genome-scale for very low cost within 10 minutes. The data SEQE generates requires entirely new inference techniques. In this paper we introduce a probabilistic model of the SEQE measurement process and an algorithm that estimates sequence by solving a convex relaxation of the corresponding maximum likelihood problem. We demonstrate the effectiveness of our algorithm on a variety of simulated datasets.

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Nicholas Boyd, Samuel Woodhouse, Kalim Mir. 2021-03-18. Sequencing by Emergence: Modeling and Estimation. https://arxiv.org/abs/2103.10477

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